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Speech spectrum conversion based on speaker interpolation and multi-functional representation with weighting by radial basis function networksIWAHASHI, N; SAGISAKA, Y.Speech communication. 1995, Vol 16, Num 2, pp 139-151, issn 0167-6393Article

Feature space gaussianizationSAON, George; DHARANIPRAGADA, Satya; POVEY, Dan et al.ICASSP. 2004, isbn 0-7803-8484-9, vol I, 329-332Conference Paper

Applying SVMs and weight-based factor analysis to unsupervised adaptation for speaker verification = Appliquer le machine vecteur support et l'analyse factorielle basée sur le poids à l'adaptation non supervisée pour la vérification du locuteurMCLAREN, Mitchell; MATROUF, Driss; VOGT, Robbie et al.Computer speech & language (Print). 2011, Vol 25, Num 2, pp 327-340, issn 0885-2308, 14 p.Article

The efficient incorporation of MLP features into automatic speech recognition systems = L'intégration efficace des fonctions MLP dans des systèmes de reconnaissance automatique de la parolePARK, J; DIEHL, F; GALES, M. J. F et al.Computer speech & language (Print). 2011, Vol 25, Num 3, pp 519-534, issn 0885-2308, 16 p.Article

Unified framework for basis-based speaker adaptation using 2-mode analysisJEONG, Y.Electronics letters. 2009, Vol 45, Num 21, pp 1096-1098, issn 0013-5194, 3 p.Article

Maximum a posteriori linear regression for speaker adaptation with the prior of meanLIN, Chih-Heng; WANG, Wern-Jun.EUPSICO 2000 : European signal processing conference. 2000, pp 449-452, isbn 952-15-0443-9, 4VolConference Paper

Text-independent/text-prompted speaker recognition by combining speaker-specific GMM with speaker adapted syllable-based HMM : Statistical modeling for speech processingNAKAGAWA, Seiichi; ZHANG, Wei; TAKAHASHI, Mitsuo et al.IEICE transactions on information and systems. 2006, Vol 89, Num 3, pp 1058-1065, issn 0916-8532, 8 p.Article

Language model adaptation based on PLSA of topics and speakers for automatic transcription of panel discussions : Corpus-Based Speech TechnologiesAKITA, Yuya; KAWAHARA, Tatsuya.IEICE transactions on information and systems. 2005, Vol 88, Num 3, pp 439-445, issn 0916-8532, 7 p.Article

Speaker adaptation using combined transformation and Bayesian methodsDIGALAKIS, V. V; NEUMEYER, L. G.IEEE transactions on speech and audio processing. 1996, Vol 4, Num 4, pp 294-300, issn 1063-6676Article

Speaker Adaptation in Sparse Subspace of Acoustic ModelsJEONG, Yongwon.IEICE transactions on information and systems. 2013, Vol 96, Num 6, pp 1402-1405, issn 0916-8532, 4 p.Article

Robust speaker adaptation based on parallel factor analysis of training modelsJEONG, Y.Electronics letters. 2011, Vol 47, Num 7, pp 465-467, issn 0013-5194, 3 p.Article

Robust speaker adaptation by weighted model averaging based on the minimum description length criterionXIAODONG CUI; ALWAN, Abeer.IEEE transactions on audio, speech, and language processing. 2007, Vol 15, Num 2, pp 652-660, issn 1558-7916, 9 p.Article

A study of various composite kernels for kernel eigenvoice speaker adaptationMAK, Brian; KWOK, James T; HO, Simon et al.ICASSP. 2004, isbn 0-7803-8484-9, vol I, 325-328Conference Paper

On-line adaptive learning of the correlated continuous density hidden Markov models for speech recognitionHUO, Q; LEE, C.-H.IEEE transactions on speech and audio processing. 1998, Vol 6, Num 4, pp 386-397, issn 1063-6676Article

On using formants to improve SCHMM speaker adaptationYANG, T.-Y; SHIN, W.-H; KIM, W.-G et al.IEEE transactions on speech and audio processing. 1999, Vol 7, Num 2, pp 226-230, issn 1063-6676Article

Speaker adaptation using probabilistic linear discriminant analysis for continuous speech recognitionJEONG, Y.Electronics letters. 2013, Vol 49, Num 25, pp 1641-1643, issn 0013-5194, 3 p.Article

Active Learning Using Phone-Error Distribution for Speech ModelingMURAKAMI, Hiroko; SHINODA, Koichi; FURUI, Sadaoki et al.IEICE transactions on information and systems. 2012, Vol 95, Num 10, pp 2486-2494, issn 0916-8532, 9 p.Article

Unsupervised Speaker Adaptation Using Speaker-Class Models for Lecture Speech Recognition : Processing natural speech variability for improved verbal human-computer interactionKOSAKA, Tetsuo; TAKEDA, Yuui; ITO, Takashi et al.IEICE transactions on information and systems. 2010, Vol 93, Num 9, pp 2363-2369, issn 0916-8532, 7 p.Article

Improving rapid unsupervised speaker adaptation based on HMM-sufficient statistics in noisy environments using multi-template models : Statistical modeling for speech processingGOMEZ, Randy; LEE, Akinobu; TODA, Tomoki et al.IEICE transactions on information and systems. 2006, Vol 89, Num 3, pp 998-1005, issn 0916-8532, 8 p.Article

Non-parallel training for voice conversion by maximum likelihood constrained adaptationMOUCHTARIS, Athanasios; VAN DER SPIEGEL, Jan; MUELLER, Paul et al.ICASSP. 2004, isbn 0-7803-8484-9, vol I, 1-4Conference Paper

Bayesian Sensing Hidden Markov Models : Deep Learning for Speech and Language ProcessingSAON, George; CHIEN, Jen-Tzung.IEEE transactions on audio, speech, and language processing. 2012, Vol 20, Num 1, pp 43-54, issn 1558-7916, 12 p.Article

Speaker adaptation using generalised low rank approximations of training matricesJEONG, Y; KIM, H. S.Electronics letters. 2010, Vol 46, Num 10, pp 724-726, issn 0013-5194, 3 p.Article

A new adaptation approach to high-level speaker-model creation in speaker verificationZHANG, Shi-Xiong; MAK, Man-Wai.Speech communication (Print). 2009, Vol 51, Num 6, pp 534-550, issn 0167-6393, 17 p.Article

Assessment of emerging reading skills in young native speakers and language learnersPRICE, Patti; TEPPERMAN, Joseph; ALWAN, Abeer et al.Speech communication (Print). 2009, Vol 51, Num 10, pp 968-984, issn 0167-6393, 17 p.Article

Eigenvoice modeling with sparse training dataKENNY, Patrick; BOULIANNE, Gilles; DUMOUCHEL, Pierre et al.IEEE transactions on speech and audio processing. 2005, Vol 13, Num 3, pp 345-354, issn 1063-6676, 10 p.Article

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